Figure 1 - uploaded by Robert C. Michelson
Content may be subject to copyright.
A 15-centimeter terrestrial Entomopter 

A 15-centimeter terrestrial Entomopter 

Source publication
Article
Full-text available
The test and evaluation of unmanned systems present special challenges, but these challenges are amplified when one moves into the realm of micro air vehicles. Further complications arise when these micro air vehicles are fully autonomous. The following discussion explores the difficulties in testing not only the physical flight characteristics of...

Context in source publication

Context 1
... to carry out useful missions has various advantages including: N extended range because high frequency line-of- sight links are obviated, N quicker reaction time to atmospheric perturba- tions and obstacle avoidance than can be afforded by a teleoperator, N potentially greater stealth due to lower bandwidth emissions, N the ability to operate indoors or in urban canyons where communication is not possible, N jam resistance, N the potential for beneficial emergent behaviors leading to higher probability of mission success. Difficulties in testing these tiny MAVs fall into two categories when they suddenly are given the power of autonomy: physical flight testing and behavioral testing. To exemplify some of the issues involved in each, consider the flapping wing MAV known as the Entomopter. The Entomopter was designed from inception to be a fully autonomous MAV for use in indoor reconnais- sance. Initial development began at the Georgia Tech Research Institute by the author under an independent research and development program and was later funded by the Defense Advanced Research Projects Agency’s Mesomachines program to demonstrate feasibility of such a device for indoor flight. The U.S. Air Force Research Laboratory then provided funding to extend the Entomopter’s chemically-fueled propulsion system into its fourth generation. Subsequently, the National Aeronautics and Space Administration (NASA) Institute for Advanced Concepts became interested in the Entomopter’s unique flight capabil- ities, which make slow flight in the lower Mars atmosphere possible. A feasibility study was then funded to show how an Entomopter-based Mars Surveyor could enhance the science missions envi- sioned for Mars. All of these programs involved analytical substantia- tion of the Entomopter in various environments ranging from low Reynolds number flight in the lower atmosphere of Earth to low Reynolds number flight in the lower atmosphere of Mars. Also common to these programs was the fact that the Entomopter was to be fully autonomous and never teleoperated. Full autonomy was essential for indoor operation where communication and global positioning system signals were not available, and it was likewise essential for Mars operations where the latency of control (10–15 minutes depending upon the distance of Mars from Earth) necessitated a vehicle that could carry out missions unassisted. The terrestrial Entomopter (Figure 1) is a multi- mode autonomous robot capable of flight and limited ambulatory behaviors. Autonomous navigation is based on a combination of attraction and avoidance behaviors deriving input from both an integrated optic-olfactory sensor for detection of chemical species (or, alterna- tively, a sensor for a specific type of radiation), and an ultrasonic swept beam ranging device. The terrestrial Entomopter eventually found potential applications on Mars by virtue of its unique ‘‘blown’’ flapping wing (U.S. Patent No. 6,082,671 and U.S. Patent No. 6,446,909). Present planetary surface rovers have shortcomings that NASA could address with a slow flying aerial platform, however flight on Mars is complicated by the fact that the atmosphere is rarefied, thereby making it difficult to generate lift with conventional wings. In fact, fixed wing vehicles must have enormous wings and travel at speeds in excess of 300 kilometers per hour to stay aloft in the Mars atmosphere (Colozza et al. 2000). Turn radii are on the order of kilometers, making it inefficient to return to points of interest, and high-speed traverse across the surface at lower altitudes causes smearing of sensor data, thereby negating any beneficial increase in resolution that may have otherwise been gained (Colozza et al. 2002). NASA recognized that the ability of the Entomopter to fly in low Reynolds number conditions without the need for air-breathing propulsion made it a natural candidate for flight in the rarefied atmosphere of Mars, albeit in a larger incarnation. Unlike fixed wing flyers, an Entomopter-based Mars surveyor would be able to cover a wide area while still being able to fly slowly and return to a refueling rover. The Entomopter began as a biologically inspired design, but rather than attempting to replicate biological kinematics and aerodynamics, improved systems have been devised to leverage what is observed in biological systems to produce a machine that is manufacturable, controllable, and able to generate the power necessary to fly from onboard energy sources (Michelson 2004). The Hawk Moth (Manduca sexta ) was chosen as a baseline model for the wing aerodynamics. The University of Cambridge in England was part of the initial Entomopter design team because it had studied Hawk Moth wing aerodynamics for more than a quarter of a century and had produced seminal works describing the leading edge vortex and its effects on the flapping wing (Ellington et al. 1996, Liu et al. 1998, van den Berg and Ellington 1997, Willmott and Ellington 1997, Wilmott et al. 1997). The flapping mechanism for the Entomopter has been extended beyond that of the Hawk Moth to provide a resonant single-piece construction that takes advantage of torsional resonance in the Entomopter fuselage to recover flapping energy common to flying insects that temporarily store potential energy in either muscles or exoskeletal parts (resilin). In the terrestrial version, the same structure that provides wing flapping also scans a frequency modu- lated continuous wave ultrasonic beam to provide front, side, and down-looking range measurements for obstacle avoidance and altimetry. It also has the potential to track and follow free-moving agents in a fashion similar to that employed by bats. Stability and control in flight as well as navigation are achieved by actively modifying the lift of each wing on a beat-to-beat basis using pneumatic control of the air circulating over the beating wing. Also, as demonstrated in the Georgia Tech Research Institute’s wind tunnels where pneumatically controlled wings were shown to develop positive lift at negative angles of attack ( a ) as great as 2 70 degrees (Englar et al. 1994), Entomopter wings (unlike those of the Hawk Moth) should be able to generate positive lift not only on the downbeat but the upbeat as well. These wind tunnel tests have shown that coefficients of lift exceeding the theoretical maximum by 500 percent for the given wing shape can be achieved without the complexity of active angle-of-attack modulating mechanisms (Michelson and Naqvi 2003). A chemically fueled reciprocating chemical muscle has been designed and is in its fourth generation of development. This actuator system has demonstrated 70-Hz reciprocation rates with throws and evolved power levels necessary to support flight of a fully autonomous Entomopter system (Michelson and Amarena 2001). The reciprocating chemical muscle uses the energy locked in various monopropellants to produce reciprocating motion for propulsion as well as waste gas products for the operation of gas bearings, an ultrasonic obstacle avoidance ranging system, and full flight control of the vehicle. Rigorous testing of MAVs usually begins in a wind tunnel with airfoil sections and eventually with the entire air vehicle. A problem in wind tunnel testing is that many tunnels are not configured to handle such small test objects and the balances may not have the desired ...

Similar publications

Article
Full-text available
Autonomous air combat is an inevitable trend in the development of unmanned combat aerial vehicle (UCAV) equipment. Its purpose is to generate maneuver trajectory so that UCAVs obtain better air combat situation. Therefore, aiming to solve a tactical maneuver trajectory optimization problem for an UCAV in autonomous air combat, this paper proposed...

Citations

... A description of the testing and evaluation of micro-air vehicles (MAVs) for both the physical realm and behavioral realm is provided in [19]. According to the author, testing the physical capability of a MAV is relatively easier than testing the autonomous behavior of the MAV. ...
Chapter
In this paper, we propose a data-driven testing and evaluation framework for multi-UAVs to evaluate their performance in executing missions in the physical world. Seven micro-behaviors, termed here as modes of operation, are leveraged to describe the autonomous functionalities of the UAVs. These functionalities are then used to design five scenarios for model training, validation and testing of the proposed framework. Each scenario includes a distinct sequence of behaviors for the UAVs in order for the different autonomous functionalities to be evaluated. We develop and implement a simulation environment using the Robot Operating System (ROS), Gazebo, and the Pixhawk autopilot to generate synthetic data for the training of a classification model. This trained model is then utilized to evaluate the behaviors of the UAVs while performing real-world missions. Finally, the proposed framework is tested using synthetic data generated from a simulation environment and validated using real-world data.
... This section provides an example of the comparison made among several planforms. 11,12 Table 1 includes comparison made among these planforms with aspect ratio of 1 to 2. Smaller numbers in ranked order indicate more amounts. As seen in Table 1, among mentioned planforms inverse Zimmerman planform is the best in terms of efficiency and in terms of circle rectangular elliptical (CRE) unconventional drag planform is the best in most cases. ...
... By comparing equations (12) and (13), coefficients are equivalent to the following ...
Article
Full-text available
This study attempts to present a new and comprehensive cycle for the design of fixed wing micro air vehicles. The idea is to propose a complete cycle containing all micro air vehicles design subjects such as aerodynamics, stability, structure, and navigation. The main aim of the cycle is to decrease the designing time for an optimum design. In this method, the sizing process is started simultaneously, which involves the following cases: specification of mission and aviation plan; determination of planform and aspect ratio; constraint analysis; estimation of plane weight. Completion of these four phases results in the specification of the geometry and dimensions of the wing in an optimum manner. After determination of the planform geometry, selection of the airfoil is carried out by complying with the defined criteria. After this stage, the wing of micro air vehicle is designed completely and analysis is carried out to determine the aerodynamics coefficients. Next step is designing the fuselage for the airplane. Then micro air vehicle and aerodynamic center of wing are calculated and stability equations for micro air vehicle are simulated. The results of these processes are determination of surfaces, dimensions and airfoils of the tails and center of gravity of the plane. After calculation of the control surfaces, the designed micro air vehicle is analyzed in XFLR5 software. Next step is selection of electric equipment such as motor, batteries, servo, etc. The final step of design is the optimization of the micro air vehicle for increasing its performance and endurance. After the design, steps of manufacturing will be started.
... As stated in a recent paper [8], testing autonomous systems is still an unsolved key area. Related research focused first of all on high fidelity simulators [9], excessive field testing [10], and testing the physical aspects [11]. There are only a few frameworks that offer automated test generation. ...
... • Ad-hoc testing of stressful conditions and extreme situations: Previous research focused first of all on producing high fidelity simulators [ 4] or executing excessive field testing [ 5] for the verification of AS. There exist methods for testing the physical aspects; however, not all behavioural aspects are well-covered [ 3]. Our proposed solution is based on context modelling: we included in the context models the constraints and conditions that determine the normal and exceptional situations and defined methods to systematically generate stressful test contexts by violating the constraints, reaching boundary conditions, and combining contexts from various requirements (to test the implementation in case of interleaving scenarios). ...
Conference Paper
Full-text available
Autonomous systems are used nowadays in more and more sectors from vehicles to domestic robots. They can make decisions on their own or interact with humans, thus their robustness and safety are properties of crucial importance. Due to the adaptive and context-aware nature of these systems, the testing of such properties is especially challenging. In this paper, we propose a model-based testing approach to capture the context and requirements of such systems, to automatically generate test data representing complex situations, and to evaluate test traces and compute test coverage metrics.
... "A fully autonomous MAV containing sufficient onboard intelligence to carry out useful missions has various advantages including: r Jam resistance r The potential for beneficial emergent behaviors leading higher probability of mission success" (Michelson, 2008) In spite of these inherent advantages, difficulties arise when testing MAVs suddenly are given the power of autonomy. In particular, physical flight testing and behavioral testing are problematic. ...
Chapter
"No other air vehicle design space has presented the mix of challenges as that of miniature flight platforms. By definition these tiny platforms are unmanned and endeavor to invade the flight regime of birds and insects. In order to do so, the creators of these aerial robots must address the same physical design constraints which have already been mastered by the world of airborne biology, including low Reynolds number aerodynamics, high energy density, and extreme miniaturiza- tion" (Michelson, 2004). Mankind is fascinated by flight and from the earliest times, birds and insects have been the models by which flight has been studied. Renaissance designers of notional aircraft, such as Leonardo di ser Piero da Vinci, adopted inspiration from predominantly birds as reflected in the morphology of their creations. The problems of scaling biologically inspired designs up to human-carrying proportions were not appreci- ated, and practically all failed principally due to the lack of an adequate propulsion system as exemplified by DaVinci's man-powered flapping-wing machine. More recently, attempts to move in the direction of tiny flying machines that match the scale of birds and even the smaller insects have come into vogue. The nature of flight at these scales is perhaps better understood by today's design- ers than it was by those of DaVinci's time, but beyond the first-order appreciation for Reynolds number differences, the realm of miniature flight vehicles is still an unplumbed depth, with only a handful of researchers working consistently in the area. Couple this with the difficulty of storing useful amounts of energy in light-weight packages at these small scales, and we end up with few practical designs and noth- ing that comes close to the endurance and performance of its biological counterpart (Michelson, 2004).
... For example, flying insects comply with the requirements mentioned above and can thus provide inspiration for solving the engineering problems encountered in the creation of a fly-sized MAV. One of the key properties of systems inspired by flying insects is that they use flapping wing propulsion (they are ornithopters) 1,2,3,4,5,6,7,8,9 . Especially at smaller sizes, this propulsion method produces more lift than fixed wing configurations 10,11,12,13 . ...
Article
Full-text available
Light-weight, autonomous ornithopters form a promise to observe places that are too small or too dangerous for humans to enter. In this article, we discuss the DelFly project, in which we follow a top-down approach to ever smaller and more autonomous ornithopters. Top-down signifies that the project always focuses on complete flying systems equipped with camera. We give arguments for the approach by explaining which findings on the DelFly I and DelFly II recently led to the development of the DelFly Micro: a 3.07-gram ornithopter carrying a camera and transmitter onboard. These findings concern the design, aerodynamics, and vision-based control of the DelFly. In addition, we identify main obstacles on the road to fly-sized ornithopters.
Conference Paper
3D Printers produce physical 3D objects by printing layer by layer from digital data. The digital data in the form of CAD models can be obtained either from any advance CAD packages or scanned models from a 3D Scanner. Due to the extreme shortage of ventilators available in India and continues increase of corona virus patients’ day by day there is a need of more ventilators. Five percent of patients who are suffering from corona virus need ventilator support for breathing. To overcome the shortage of ventilators, ventilator splitters were developed and it can be shared by many patients for oxygen supply. It can able to control flow of oxygen from the ventilator splitters to different patient’s lung sizes. So in this research a ventilator splitter, design in CATIA software, Computational Fluid Dynamic (CFD) analysis was done using ANSYS16.0 and fabricated by process of Fused Deposition Modeling (FDM) using antimicrobial PLA material. Antimicrobial PLA is biodegradable plastic integrated with copper nano-particles, which will restrict the 3D printed parts contaminating bacteria’s. So, copper nano-particles PLA can be used for producing ventilator splitters for splitting oxygen to the four patients at a time emergency situation in hospitals. From the CFD analysis it is observed that the oxygen maximum static pressure (1.058e +002Pa) is at inlet of the ventilator and minimum static pressure (-2.17e+002Pa) at outlet of the ventilator splitters. The maximum oxygen flow velocity is 2.121e+001m/s and there is no change of temperature of the flow. It is also seen that net mass flow rate and net heat transfer rate are 0.0032676226kg/s and -0.051416769w respectively.
Conference Paper
The paper deals with modeling and simulation of business processes. A multiagent system was implemented as a tool to manage the simulation. Multiagent systems often operate with random (respectively pseudorandom) generated parameters in order to represent unpredictable phenomena. The aiml of the paper is to show the influence of different random number generation functions to the real multiagent system outputs. It is obvious, that outputs of the multiagent system simulation differs from turn to turn, but the motivation was to find, if the differences are significant. An accurate number of agents with the same parameters were used for each case, with different kinds of randomness while generating agent’s internal state attributes. The results obtained show that using inappropriate random number generation function leads to significant output data distortion, so the generation function selection must be done very carefully.
Chapter
A detailed overview of some of the Human Systems Integration (HSI) and Human Factors Engineering (HFE) issues involved with the newest and perhaps fastest growing research area in unmanned systems, micro air vehicles (MAVs), will be presented. This work will be useful to those studying MAV system concepts and designs, managers of HSI programs, users of MAV systems, and those who design MAVs and the resources to support them. The importance of a total systems engineering approach to MAV design, how MAVs fit into commonly accepted Human Systems Integration domains, and an exposure of some emerging issues with MAVs that require further research are discussed. The unique attributes of MAVs in terms of their size and control methods, combined with the challenges of the dynamic operational environments where they are deployed (such as the battlefield), represent HFE issues exclusive to the MAV platform that require special consideration. The importance of designing for the human operator is paramount for successful outcomes with MAV platforms. Literature currently addressing HFE issues with unmanned platforms generally lump all flying systems together, making no distinction between the large high-altitude platforms and smaller ones, despite there being a unique set of challenges that are specific to smaller platforms. Specifically highlighted are some areas where currently researched HFE issues are particularly applicable to MAVs as opposed to large-scale systems.
Chapter
The design of micro air vehicles (MAV) presents one of the most formidable engineering challenges, not only to aerospace, but electrical, mechanical, and computer engineers because of flight regime in which these tiny aircraft operate. Aerospace designers must contend with issues surrounding low Reynolds number flight, while electrical and mechanical designers will be concerned with issues of energy storage, behavior of materials at small scales, and non-scaling items. The missions at which MAVs will excel demand increased levels of autonomy, forcing computer engineers to create innate onboard intelligence exhibiting high bandwidth and superior abilities to interpret obstacle-rich environments not usually encountered by larger flying machines. This section deals with MAVs that conform to the original Defense Advanced Research Projects Agency (DARPA) definition (15 cm and smaller), rather than the larger UAVs which many are prone to label as “micro air vehicles,” but in reality are just small-scale UAVs. Topics covered in this section are somewhat unique relative to typical MAV discussions in other texts dealing with MAVs that focus primarily on the air vehicle rather than the system. Not only is the air vehicle covered here but also issues of MAV deployment which are all too often neglected in discussions of MAV operations (e.g., communications and operational issues).